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Sajjid Chinoy

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Hussain Chinoy

Technical Solutions Manager, Generative AI · Google Cloud

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Title & Speakers Event
Event Global Data Pod 2025-01-09
Global Data Pod Research Rap: Making Asia vulnerable again 2025-01-09 · 15:31
Sajjid Chinoy – guest , Nora Szentivanyi – Senior Global Economist

Sajjid Chinoy joins Nora Szentivanyi to discuss the outlook for EM Asian economies in 2025. The tech cycle upswing, underpinned by AI-related demand, has been crucial to the region’s resilience in 2024. While these tech tailwinds are likely to sustain, the regional outlook for 2025 is heavily clouded by a US-China Trade War 2.0. In contrast to the last US-China trade war, the rest of the region is more vulnerable this time around because activity is still much below the pre-pandemic path and the shock itself is likely to be more acute (potentially larger increase in tariffs with the transshipment escape-valve closed). Moreover, the policy space to respond – especially on fiscal – is more constrained this time. So the collateral damage on the region, while differentiated across countries, is likely to be larger than commonly presumed.

This podcast was recorded on January 09, 2025.

This communication is provided for information purposes only.  Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-4866513-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures.

© 2025 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

AI/ML
Global Data Pod Research Rap: What a faster Fed easing means for EM Asia 2024-08-08 · 14:19
Sajjid Chinoy – guest , Seok Gil Park – guest , Nora Szentivanyi – Senior Global Economist

Sajjid Chinoy and Seok Gil Park join Nora Szentivanyi to discuss the implications of a more front-loaded Fed easing path for EM Asia. Soft core inflation in EM Asia ordinarily would call for a reversal of some of the monetary policy tightening of the last few years. Yet policy has been constrained in several cases by low interest-rate differentials versus the US and concerns over financial stability. Against this backdrop, a Fed that cuts more rapidly to neutral opens up much-needed space for EM Asian central banks to respond more fully to domestic growth-inflation dynamics. The scale of the response is likely to be bifurcated across the region. We see greater scope for additional cuts in India, Indonesia, and China. The case is less compelling in Taiwan and Korea because the output gap has closed in the former and  domestic financial stability considerations are weighing on easing in the latter.

This podcast was recorded on August 8, 2024.

This communication is provided for information purposes only.  Institutional clients can view the related reports at

https://www.jpmm.com/research/content/GPS-4763678-0

https://www.jpmm.com/research/content/GPS-4766359-0

for more information; please visit www.jpmm.com/research/disclosures for important disclosures.

© 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

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